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Protection motivation theory and cigarette smoking among vocational high school students in China: a cusp catastrophe modeling analysis

Overview of attention for article published in Global Health Research and Policy, June 2016
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Title
Protection motivation theory and cigarette smoking among vocational high school students in China: a cusp catastrophe modeling analysis
Published in
Global Health Research and Policy, June 2016
DOI 10.1186/s41256-016-0004-9
Pubmed ID
Authors

Yunan Xu, Xinguang Chen

Abstract

Tobacco use is one of the greatest public health problems worldwide and the hazards of cigarette smoking to public health call for better recognition of cigarette smoking behaviors to guide evidence-based policy. Protection motivation theory (PMT) provides a conceptual framework to investigate tobacco use. Evidence from diverse sources implies that the dynamics of smoking behavior may be quantum in nature, consisting of an intuition and an analytical process, challenging the traditional linear continuous analytical approach. In this study, we used cusp catastrophe, a nonlinear analytical approach to test the dual-process hypothesis of cigarette smoking. Data were collected from a random sample of vocational high school students in China (n = 528). The multivariate stochastic cusp modeling was used and executed with the Cusp Package in R. The PMT-based Threat Appraisal and Coping Appraisal were used as the two control variables and the frequency of cigarette smoking (daily, weekly, occasional, and never) in the past month was used as the outcome variable. Consistent with PMT, the Threat Appraisal (asymmetry, α1 = 0.1987, p < 0.001) and Coping Appraisal (bifurcation, β2 = 0.1760, p < 0.05) significantly predicted the smoking behavior after controlling for covariates. Furthermore, the cusp model performed better than the alternative linear and logistic regression models with regard to higher R2 (0.82 for cusp, but 0.21 for linear and 0.25 for logistic) and smaller AIC and BIC. Study findings support the conclusion that cigarette smoking in adolescents is a quantum process and PMT is relevant to guide studies to understand smoking behavior for smoking prevention and cessation.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 13%
Student > Ph. D. Student 6 12%
Student > Master 4 8%
Student > Doctoral Student 3 6%
Lecturer 3 6%
Other 9 17%
Unknown 20 38%
Readers by discipline Count As %
Psychology 9 17%
Medicine and Dentistry 4 8%
Business, Management and Accounting 3 6%
Nursing and Health Professions 3 6%
Social Sciences 3 6%
Other 9 17%
Unknown 21 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 August 2016.
All research outputs
#14,267,420
of 22,879,161 outputs
Outputs from Global Health Research and Policy
#162
of 200 outputs
Outputs of similar age
#200,924
of 352,336 outputs
Outputs of similar age from Global Health Research and Policy
#6
of 7 outputs
Altmetric has tracked 22,879,161 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 200 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 352,336 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.